EC1 Partners are exclusively partnered with a global prestigious Fintech business, who are in search for an Engineering Manager to sit in their Risk Analytics team.
With huge investment in technology and their data platform, there is an opportunity to develop several new revenue generating products, leveraging open source and big data technologies. These include new data integration, advanced analytics, visualization, aggregation and smart data initiatives that address new customer needs and are highly visible and strategic within the organization.
These initiatives are using best of breed technologies, such as Hadoop, Spark, HDFS, Kafka, Cassandra and AWS along with in-house developed technologies, and the successful candidate will be working in a fast paced, dynamic team environment, leading the development & delivery of commercial products which are at the heart of the business.
Duties And Accountabilities
Experience leading and managing development teams
Lead teams in design and development of “Big Data” infrastructure for batch and real-time analytics.
Ensure highly interactive response times. Avoid allowing performance bottlenecks to creep into the system.
Interpret and analyse business use-cases and feature requests into technical designs and development tasks.
Be an active player in system architecture and design discussions.
Take ownership of delivery, participate in regular design and code review meetings.
Work with several teams (in multiple worldwide locations).
Be delivery focused, have a passion for technology and will enjoy offering new ideas and approaches.
Education and Expertise
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or a related discipline, or equivalent experience.
Computer Science and Software Engineering : Strong software development experience: Ability to build production software in Scala or Python
Distributed file systems/databases/systems
Be able to demonstrate commercial experience on big data/advanced analytics projects
Knowledge of algorithms, data structures, computational complexity.
Hadoop, HDFS, YARN, Spark, Hive, NoSQL databases, SOLR, Kafka, Druid
AWS: EC2, EMR, S3